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Morphological and molecular biological identification of Tyrophagus fanetzhangorum and T. putrescentiae
FAN Xiao-chen, LIU Lu-yao, FANG Yu, CHU Ling-miao, FENG Rui, LI Fei-yan, PAN Ruo-xi, WANG Shao-sheng, SUN En-tao
Abstract240)      PDF (3315KB)(620)      
Objective To identify Tyrophagus fanetzhangorum and T. putrescentiae by morphological and molecular methods. Methods Samples were collected from houses and stored products, and individual mites were selected for pure culture. The cultured adult mites were used to prepare slide specimens for morphological identification based on the taxonomic keys of Astigmata. Subsequently, genomic DNA was extracted from individual mites for the PCR amplification, and sequencing of mitochondrial cytochrome c oxidase subunit Ⅰ gene (CO Ⅰ). The resulting sequences were subjected to homology search using BLAST in NCBI. The CO Ⅰ sequences of T. fanetzhangorum and T. putrescentiae were aligned using Clustal Ⅹ 1.83. Sequence analysis was performed using MEGA Ⅹ, and a phylogenetic tree was constructed using the maximum likelihood method. Results The posterior 1/3 of the coxal plate Ⅱ of T. fanetzhangorum was concave, the inferior margin was "S" shaped, and the distal 2/3 of solenidion ω 1 on tarsus Ⅰ obviously widened. The coxal plate Ⅱ of T. putrescentiae was triangular, the inferior margin was straight or slightly concave, and the solenidion ω 1 on tarsus Ⅰ widened at the distal 1/4. The CO Ⅰ gene sequences of the isolated T. fanetzhangorum and T. putrescentiae showed >99.00% similarity with the CO Ⅰ gene sequences of T. fanetzhangorum and T. putrescentiae in GenBank. The phylogenetic tree showed that T. fanetzhangorum and T. putrescentiae clustered into a branch with a bootstrap value of 100%. Conclusion Identification of T. fanetzhangorum and T. putrescentiae can be performed based on morphological characteristics or molecular analysis of the COⅠ gene. The combination of morphological and molecular identification can improve the accuracy of the identification of closely related mite species.
2022, 33 (2): 277-280.   doi: 10.11853/j.issn.1003.8280.2022.02.021
Study on the relationship of meteorological factors and rats density by Response surface methodology
WU Hai-Lei, QIAN Ji-Sheng, RUAN Zhi-An, HUANG Li-Ye, ZHANG Chun, CHEN Rui, LV Yong-Sheng, HU Lin, LIU Lie-Gang
Abstract1440)      PDF (1379KB)(993)      

【Abstract】 Objective To study the effect of meteorological factors on rats density by Response surface methodology(RSM) based on correlation and regression analysis. Methods The meteorological factors and rats density were monitored continuously. A response surface model was made by the correlation and regression analysis of them. Results Linear regression analysis(P<0.030)indicated that monthly average minimum temperature, sunshine time and precipitation were the main influence factors, and the multiple correlation coefficient was 0.716. However, RSM suggested that monthly average minimum temperature(P=0.003), precipitation square(P=0.059), interaction of monthly minimum temperature and sunshine(P=0.027) affected mostly the density of rats, and its multiple correlation coefficient was 0.761. Conclusion The effect of meteorological factors on the rats density could be evaluated by RSM model.  This model was superior to linear regression model. The effect of meteorological factors on rats density was resulted from multiple factors and their interaction.

2009, 20 (2): 129-132.